Monnari Trade (Poland) Market Value
| MON Stock | 5.50 0.04 0.72% |
| Symbol | Monnari |
Monnari Trade 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Monnari Trade's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Monnari Trade.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in Monnari Trade on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding Monnari Trade SA or generate 0.0% return on investment in Monnari Trade over 30 days. Monnari Trade is related to or competes with LPP SA, Esotiq Henderson, Asseco Business, Movie Games, and Igoria Trade. More
Monnari Trade Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Monnari Trade's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Monnari Trade SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 10.47 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 2.61 |
Monnari Trade Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Monnari Trade's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Monnari Trade's standard deviation. In reality, there are many statistical measures that can use Monnari Trade historical prices to predict the future Monnari Trade's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.44) | |||
| Treynor Ratio | (2.35) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Monnari Trade's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Monnari Trade SA Backtested Returns
Monnari Trade SA has Sharpe Ratio of -0.0794, which conveys that the firm had a -0.0794% return per unit of risk over the last 3 months. Monnari Trade exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Monnari Trade's Mean Deviation of 1.27, risk adjusted performance of (0.06), and Standard Deviation of 1.8 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.0684, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Monnari Trade's returns are expected to increase less than the market. However, during the bear market, the loss of holding Monnari Trade is expected to be smaller as well. At this point, Monnari Trade SA has a negative expected return of -0.15%. Please make sure to verify Monnari Trade's potential upside, as well as the relationship between the daily balance of power and market facilitation index , to decide if Monnari Trade SA performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.42 |
Modest reverse predictability
Monnari Trade SA has modest reverse predictability. Overlapping area represents the amount of predictability between Monnari Trade time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Monnari Trade SA price movement. The serial correlation of -0.42 indicates that just about 42.0% of current Monnari Trade price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Monnari Trade SA lagged returns against current returns
Autocorrelation, which is Monnari Trade stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Monnari Trade's stock expected returns. We can calculate the autocorrelation of Monnari Trade returns to help us make a trade decision. For example, suppose you find that Monnari Trade has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Monnari Trade regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Monnari Trade stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Monnari Trade stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Monnari Trade stock over time.
Current vs Lagged Prices |
| Timeline |
Monnari Trade Lagged Returns
When evaluating Monnari Trade's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Monnari Trade stock have on its future price. Monnari Trade autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Monnari Trade autocorrelation shows the relationship between Monnari Trade stock current value and its past values and can show if there is a momentum factor associated with investing in Monnari Trade SA.
Regressed Prices |
| Timeline |
Pair Trading with Monnari Trade
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Monnari Trade position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Monnari Trade will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Monnari Trade could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Monnari Trade when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Monnari Trade - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Monnari Trade SA to buy it.
The correlation of Monnari Trade is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Monnari Trade moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Monnari Trade SA moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Monnari Trade can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Monnari Stock Analysis
When running Monnari Trade's price analysis, check to measure Monnari Trade's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Monnari Trade is operating at the current time. Most of Monnari Trade's value examination focuses on studying past and present price action to predict the probability of Monnari Trade's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Monnari Trade's price. Additionally, you may evaluate how the addition of Monnari Trade to your portfolios can decrease your overall portfolio volatility.